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An MCP server is a small program that lets an AI assistant use another app or data source in a standard way. MCP stands for Model Context Protocol. It is an open standard that, in its official documentation’s words, works like “a USB-C port for AI applications”. An AI app that understands MCP can connect to any MCP server, whether that server exposes your files, a database, GitHub, Google Drive or a payment system.
Anthropic introduced MCP in November 2024. Since then ChatGPT, Gemini, Microsoft Copilot, Cursor and Visual Studio Code have adopted it, according to Anthropic, which handed the protocol to a Linux Foundation fund in December 2025. This guide explains MCP without code: the three parts, what servers can do, Indian examples, how to try one, and the security risks to understand first. If you only want to connect Claude to Gmail or Drive, start with our hands-on guide to Claude connectors.
What problem does MCP solve?
Before MCP, each AI app needed its own custom connection to each tool. Ten AI apps and a hundred tools meant up to a thousand separate integrations. MCP replaces that with one shared language. A tool maker builds one MCP server, and every MCP-compatible AI app can use it. The official site describes MCP as “an open-source standard for connecting AI applications to external systems”, including data sources, tools and workflows (modelcontextprotocol.io).
For a student or office worker, that means an AI assistant that can do more than chat. With the right servers connected, it can search your documents, read a spreadsheet, look up an order or create a calendar event, with your permission.
How does MCP work: host, client and server?
MCP has three participants, described in the official architecture overview:
| Part | What it is | Example |
|---|---|---|
| Host | The AI application you use | Claude Desktop, Claude Code, Visual Studio Code |
| Client | A connector inside the host; the host creates one per server | Built in, you never see it |
| Server | A program that provides data or actions to the AI | A filesystem server, a GitHub server, a payments server |
A server can run in two places. A local server runs on your own computer and talks to the app directly. This suits private files and databases. A remote server runs on the internet and is reached over HTTP. That is how most company services, such as payment and broking platforms, offer MCP.
What can an MCP server give an AI?
An MCP server can offer three kinds of thing, which the protocol calls primitives:
- Tools: actions the AI can run, such as “search files”, “create invoice” or “query database”.
- Resources: data the AI can read, such as a file’s contents or a database schema.
- Prompts: ready-made templates that help the AI use the server well.
The AI app asks each server what it offers, shows the model the list of tools, and calls a tool when the model decides it needs one. Good apps ask you to approve an action before it runs, especially anything that changes data.
Are there MCP servers for Indian apps?
Yes. Some Indian companies publish official MCP servers. Two examples, both on the companies’ own GitHub accounts:
| Company | What the server does | Official repository |
|---|---|---|
| Zerodha (Kite) | Lets an AI view holdings, positions and market data and manage orders through Kite. Zerodha says its hosted version leaves out potentially destructive trading operations. | github.com/zerodha/kite-mcp-server |
| Razorpay | Lets an AI work with payments, orders, refunds, payment links and settlements for a merchant account, with an optional read-only mode | github.com/razorpay/razorpay-mcp-server |
Many unofficial servers copy famous names, so always check that a server is published by the company itself before you connect it to an account with money or client data. Connecting an AI to a broking or payments account is a serious step. Read the server’s documentation on what it can and cannot do, and start with read-only access where it is offered.
How do you try an MCP server without coding?
The easiest way is through an AI app that already supports MCP. In Claude, ready-made connections to popular services are listed in a directory and called connectors. Anthropic also lets you add any remote MCP server by its URL as a “custom connector”. Free users can add one custom connector (Claude Help Center). The steps are in our guide to Claude connectors.
If you want to build your own server, the official site has guides and software development kits in several languages. That is a sensible project for BCA and B.Tech students who know some Python or JavaScript. If you are choosing such a degree, see B.Tech AI vs B.Sc AI vs BCA AI.
Is MCP safe?
MCP is only as safe as the servers you connect and the permissions you give them. Three risks matter most:
- Too much access. A server can often read, and sometimes change, everything your account can. Connect only what you need.
- Untrusted servers. Anthropic says custom connectors are not verified by it and advises using servers only from trusted organisations (Claude Help Center).
- Hidden instructions. Content an AI reads, such as a web page, email or shared file, can contain text that tries to make it misuse a connected tool. Review every action an AI proposes before approving it.
The protocol’s own documentation includes a security best practices section for anyone building or deploying servers. For accountants and anyone handling client data, the rules in AI for accountants apply equally to MCP connections.
How is MCP different from an API, n8n or a plugin?
| Tool | What it is | When to use it |
|---|---|---|
| API | The way one program talks to another; each one is different | Developers building a fixed integration |
| MCP server | A standard wrapper that lets any MCP-compatible AI use a service | When you want an AI assistant to decide when to use a tool |
| n8n, Zapier, Make | Workflow automation: “when X happens, do Y” | Repeating the same steps automatically. See n8n for beginners |
| Connector (in Claude) | A ready-made, listed MCP connection inside the Claude app | Non-programmers who want Gmail, Drive and similar apps |
MCP and automation tools work together. n8n, for example, can both use MCP servers and act as one, so an AI assistant can trigger a workflow. ICAI now teaches connectors and related AI automation to chartered accountants in its AI course. See ICAI’s AI course explained.
Frequently asked questions
What does MCP stand for?
Model Context Protocol. It is an open standard for connecting AI applications to external data, tools and workflows.
Who created MCP?
Anthropic introduced MCP in November 2024 and later donated it to the Agentic AI Foundation, a fund under the Linux Foundation.
Is MCP only for Claude?
No. Anthropic says ChatGPT, Gemini, Microsoft Copilot, Cursor and Visual Studio Code are among the products that have adopted MCP.
Do I need coding to use an MCP server?
Not to use one through an app such as Claude, where you add it as a connector. Building your own server needs programming.
What is the difference between a local and a remote MCP server?
A local server runs on your own computer, which suits private files. A remote server runs on the internet and is reached by URL, which is how most company services offer MCP.
Is it safe to connect my bank or trading account to AI through MCP?
It carries real risk. Use only the company’s official server, give the least access possible, prefer read-only modes, and review every action before approving it.
Still deciding?
If you want to build a career around AI tools and automation, a counsellor can help you choose between a degree, a short course and self-study. Book online career counselling or call 9212008787.
